Advanced Technologies - National Center for Image Guided Therapy (AT-NCIGT)
先进技术 - 国家影像引导治疗中心 (AT-NCIGT)
基本信息
- 批准号:10326345
- 负责人:
- 金额:$ 139.14万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-01-06 至 2025-12-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAcuteAlgorithmsArchitectureAtlas of Cancer Mortality in the United StatesAugmented RealityBiomedical ResearchBiopsy SpecimenBloodBrainBrain NeoplasmsCellsCharacteristicsCommunitiesComplexComputer Vision SystemsComputer softwareConventional SurgeryDataDevelopmentDevicesDiffusionDisciplineDiseaseEarly DiagnosisEffectivenessEvolutionFoundationsGoalsHealth Care ResearchHeterogeneityHistopathologyImageImaging DeviceImaging TechniquesImmunotherapyIndividualInformation RetrievalInfrastructureInterventionInterventional radiologyKnowledgeLesionLongitudinal StudiesLungMagnetic ResonanceMagnetic Resonance ImagingMalignant neoplasm of prostateMedicalMedicineMetabolic MarkerMetabolismMetadataMethodsMicroscopicMissionModelingMolecularMorphologyNanotechnologyNavigation SystemNeedlesNeoplasm MetastasisOperating RoomsOperative Surgical ProceduresPatient CarePatient-Focused OutcomesPatternPhysiologic pulseProceduresProstateRadiation OncologyRecurrenceResearchResistanceResolutionRetrievalRisk AssessmentSamplingServicesSignal TransductionSourceSpecimenSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpeedSupervisionT2 weighted imagingTechnologyTestingTimeTissue SampleTissue imagingTissuesVisualizationbasebig-data sciencebiomedical resourcebrain surgerycancer carecancer heterogeneitycancer imagingcancer therapydata curationdata integrationdeep learningdesigndigitalimage guidedimage guided therapyimage registrationimaging facilitiesimaging modalityimprovedin vivoin vivo monitoringinnovationion mobilitylearning strategymachine learning algorithmmass spectrometermass spectrometric imagingmetabolic imagingmicrodeviceneoplasticnew technologynovelnovel strategiesovertreatmentpersonalized cancer therapypersonalized medicineprecision medicineprostate biopsyprotocol developmentresponsesurgery outcometechnology research and developmenttissue oxygenationtooltraittumortumor heterogeneitytumor hypoxia
项目摘要
ABSTRACT: The intersection of healthcare and biomedical research is at an inflection point with the
convergence of the digital revolution, advances in imaging, nanotechnology, big data science, and
precision or personalized medicine. There is a wealth of meaningful, but complex information that could
be extracted from imaging data but is not optimally utilized for patient care. Cancer care exemplifies the
current challenges which include early detection, accurate distinction of pre- neoplastic and neoplastic
lesions, prediction of tumor aggressiveness, determining infiltrative tumor margins during surgical
treatment, tracking tumor evolution/ metastasis pattern, recurrence, and potential acquired resistance to
treatments over time. Major strides have been made in the personalization of cancer therapies such as
immunotherapy, but the availability of specific, relevant, and timely medical data and information is of
critical importance to realizing the full potential of precision medicine. Nowhere is this more acutely
evident than during interventions in the operating and procedure rooms. Novel methods of image
guidance, data integration, information extraction, and knowledge transfer are needed to enable
clinicians to fully leverage the information available, especially before, during and after invasive
procedures. We are excited to re-submit a proposal for a new P41 biomedical resource center (BTRC)
called Advanced Technologies for NCIGT(AT-NCIGT) with 3 TRDs, 10 new collaborative and 10 new
service projects, all of which aim to investigate develop and disseminate new technologies for image
guided therapy (IGT). The 3 components are Imaging Cancer Heterogeneity for IGT, Deep Learning
for IGT and Intraoperative devices for IGT. These new technologies alone and in combinations will
allow for greater understanding of disease state, treatment guidance, integration/navigation and in-vivo
monitoring of tissue responses and improve the precision of invasive procedures.
Thus the overall goal of this proposal is to investigate, develop and disseminate novel technologies for
extracting new tissue characteristics (technology research and development core TRD 1: Imaging cancer
heterogeneity; analyze them and make them available through state-of-the-art algorithmic and data
curation approaches (Deep Learning TRD 2); and enable precise tissue sampling surgical navigation and
in-vivo tissue response through the results of novel Intraoperative devices (Intraoperative devices for
IGT: TRD 3). In order to effectively disseminate all this new knowledge we have 10 new collaborative and
10 new service projects and will share these novel tools through our established mechanisms, from
current BTRC- National Center for Image Guided Therapy (NCIGT), which continues to be dedicated to
the innovating for IGT into interventional radiology, surgery, radiation oncology, and procedure-based
medicine.
摘要:医疗保健和生物医学研究的交叉点正处于一个转折点,
数字革命的融合,成像,纳米技术,大数据科学的进步,
精准或个性化医疗。有大量有意义但复杂的信息,
从成像数据中提取,但不能最佳地用于患者护理。癌症护理证实了
目前的挑战包括早期检测,肿瘤前和肿瘤的准确区分,
病变,预测肿瘤侵袭性,在手术期间确定浸润性肿瘤边缘
治疗,跟踪肿瘤演变/转移模式,复发和潜在的获得性耐药性,
治疗随着时间的推移。在癌症治疗的个性化方面取得了重大进展,
免疫治疗,但具体的,相关的,及时的医疗数据和信息的可用性是
这对实现精准医疗的全部潜力至关重要。没有什么比这更尖锐的了
比在手术室和手术室进行干预时更明显。图像的新方法
需要指导、数据集成、信息提取和知识转移,
临床医生充分利用现有的信息,特别是在侵入性手术之前、期间和之后,
程序.我们很高兴重新提交一个新的P41生物医学资源中心(BTRC)的建议
称为先进技术NCIGT(AT-NCIGT)与3 TRD,10个新的合作和10个新的
服务项目,所有这些项目的目的都是调查、开发和传播新的图像技术。
指导治疗(IGT)。3个组成部分是IGT的癌症异质性成像,深度学习
用于IGT和用于IGT的术中器械。这些新技术单独和组合将
允许更好地了解疾病状态、治疗指导、整合/导航和体内
监测组织反应并提高侵入性手术的精确度。
因此,本提案的总体目标是研究、开发和传播新技术,
提取新的组织特征(技术研发核心TRD 1:癌症成像
异构性;分析它们并通过最先进算法和数据提供它们
策展方法(深度学习TRD 2);并实现精确的组织采样手术导航和
通过新型术中器械的结果观察体内组织反应(
IGT:TRD 3)。为了有效地传播所有这些新知识,我们有10个新的合作和
10个新的服务项目,并将通过我们建立的机制分享这些新的工具,
目前的BTRC-国家图像引导治疗中心(NCIGT),继续致力于
IGT在介入放射学、手术、放射肿瘤学和基于程序的创新
药
项目成果
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{{ truncateString('CLARE M TEMPANY', 18)}}的其他基金
Advanced Technologies - National Center for Image Guided Therapy (AT-NCIGT)
先进技术 - 国家影像引导治疗中心 (AT-NCIGT)
- 批准号:
10540773 - 财政年份:2021
- 资助金额:
$ 139.14万 - 项目类别:
Generation and Dissemination of Enhanced AI/ML-ready Prostate Cancer Imaging Datasets for Public Use
生成和传播增强型 AI/ML 就绪前列腺癌成像数据集供公众使用
- 批准号:
10842801 - 财政年份:2021
- 资助金额:
$ 139.14万 - 项目类别:
Advanced Technologies - National Center for Image Guided Therapy (AT-NCIGT)
先进技术 - 国家影像引导治疗中心 (AT-NCIGT)
- 批准号:
10090279 - 财政年份:2021
- 资助金额:
$ 139.14万 - 项目类别:
Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patients
图像引导治疗中心 - 用于监测 COVID-19 患者的超声波传感器系统
- 批准号:
10224566 - 财政年份:2020
- 资助金额:
$ 139.14万 - 项目类别:
MRI Guided Interventions in the Prostate: Development of an Integrated Image-Base
MRI 引导前列腺干预:集成图像库的开发
- 批准号:
8286361 - 财政年份:2011
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MR GUIDED FOCUSED ULTRASOUND SURGERY FOR PROSTATE CANCER
MR 引导聚焦超声手术治疗前列腺癌
- 批准号:
7960874 - 财政年份:2009
- 资助金额:
$ 139.14万 - 项目类别:
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